unit-economics

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Parameterized unit economics modeling for franchise structures. Builds franchisee and franchisor P&L models using revenue model-appropriate metrics: MRR/ARR/churn for subscription, ticket average/traffic for retail, utilization/ billable hours for service. Use when modeling franchise unit economics, franchisee P&L, franchisor royalty revenue, franchise breakeven analysis, or comparing franchise economics across business models.

Kaakati By Kaakati schedule Updated 3/1/2026

name: unit-economics description: > Parameterized unit economics modeling for franchise structures. Builds franchisee and franchisor P&L models using revenue model-appropriate metrics: MRR/ARR/churn for subscription, ticket average/traffic for retail, utilization/ billable hours for service. Use when modeling franchise unit economics, franchisee P&L, franchisor royalty revenue, franchise breakeven analysis, or comparing franchise economics across business models.

Unit Economics for Franchise Models

Core Variables

Variable Impact on Model
{revenue_model} Determines revenue build method and key metrics
{business_model} Determines cost structure categories
{franchise_model} Determines fee structures (single-unit vs. area dev vs. master)
{territory_scope} Determines currency, tax, and cross-border considerations

Required Inputs

  • Revenue Model: Subscription, transaction, retail, service, or hybrid.
  • Pricing Structure: Per-unit pricing or tier structure.
  • Territory Definition: How territories are sized and what they contain.
  • Royalty Structure: % of revenue, flat fee, hybrid, or tiered.
  • Current Metrics (if available): Existing unit economics from company-owned operations.

Execution Steps

1. Revenue Build by {revenue_model}

Subscription (SaaS, memberships, recurring services)

Metric Definition Build Method
MRR Monthly Recurring Revenue Active customers × ARPU
ARR Annual Recurring Revenue MRR × 12
Gross Revenue Retention Revenue retained excluding expansion 1 - revenue churn rate
Net Revenue Retention Including expansion/upsell Gross retention + expansion rate
ARPU Average Revenue Per User/Account Total revenue ÷ active customers
Expansion Revenue Upsell + cross-sell % of base revenue

Transaction (restaurants, retail, e-commerce)

Metric Definition Build Method
Average Transaction Value Revenue per transaction Menu price × items per ticket
Transaction Volume Transactions per period Traffic × conversion rate
Revenue Period revenue ATV × volume
Same-Store Growth YoY revenue growth Comp analysis
Daypart Mix Revenue by time period % split across dayparts
Seasonal Adjustment Revenue cyclicality Index by month/quarter

Service (consulting, healthcare, education, fitness)

Metric Definition Build Method
Billable Hours Revenue-generating hours Staff × hours × utilization
Utilization Rate Billable / available hours Target: 65-85%
Average Rate Revenue per billable hour Rate card or blended rate
Revenue Period revenue Billable hours × average rate
Client Retention Recurring client % Repeat / total clients
Capacity Maximum revenue at full utilization Staff × hours × rate × utilization cap

Retail (physical goods, inventory-based)

Metric Definition Build Method
Revenue Per Sq Ft Sales efficiency Revenue ÷ selling sq footage
Inventory Turnover Selling efficiency COGS ÷ average inventory
Gross Margin Product margin (Revenue - COGS) ÷ Revenue
Footfall Customer traffic Door counts or equivalents
Conversion Rate Traffic to purchase Transactions ÷ footfall
Basket Size Average purchase Revenue ÷ transactions

2. Franchisee Unit Economics (Territory-Level P&L)

Build a 5-year P&L per franchise unit/territory. Cost categories adjust by {business_model}:

Universal Cost Categories

Category Applies To Typical % of Revenue
Royalty to franchisor All 4-15% (varies by sector)
Ad fund contribution All 1-3%
Technology/platform fee All (may be in royalty) 1-5%
Local marketing All 2-5%
Insurance All 1-3%

Business-Model-Specific Costs

Category SaaS Retail Service Hybrid
COGS / materials Minimal 25-40% 5-15% Varies
Labor Sales + support staff 25-35% 40-60% Varies
Occupancy / rent Minimal (home office) 8-15% 5-12% Varies
Equipment / buildout Minimal Significant Moderate Varies
Inventory None Yes Minimal Varies
Licenses / permits Minimal Food/health/liquor Professional licenses Varies

Franchisee Economics Summary Template

Metric Year 1 Year 2 Year 3 Year 4 Year 5
Revenue
COGS / Direct Costs
Gross Profit
Royalty
Operating Expenses
EBITDA
Owner's Compensation
Net Cash Flow
Cumulative Cash Flow

Key Franchisee Metrics

Metric Formula Target (Healthy)
Total Initial Investment Franchise fee + buildout + working capital Recover in 2-3 years
Months to Breakeven When cumulative cash flow turns positive < 18 months
Cash-on-Cash Return (Y3) Annual cash flow ÷ total investment > 20%
Payback Period Investment ÷ annual cash flow (at steady state) < 3 years
Steady-State EBITDA Margin EBITDA ÷ Revenue (mature unit) > 15% (varies by sector)

3. Franchisor Unit Economics (System-Level P&L)

Build the franchisor's economics based on network growth:

Revenue Streams

Stream Description Recognition
Initial franchise fees One-time per new unit On unit opening (GAAP)
Ongoing royalties % of revenue or flat fee As earned monthly
Technology/platform fees If separate from royalty Monthly
Ad fund management Management fee on fund Monthly
Supply chain margin Markup on required products/materials On delivery
Training fees For additional/ongoing training On delivery
Transfer/renewal fees On franchise resale or renewal On event
Company-owned unit revenue If franchisor operates units As earned

Franchisor Cost Structure

Category Description Scaling Behavior
Platform / product development R&D, product maintenance Semi-fixed
Franchise sales Recruitment marketing, sales team Scales with growth targets
Franchisee onboarding Training, opening support Per new unit
Field support Ongoing franchisee support team 1 per 40-60 units
Corporate G&A Management, finance, HR, legal Step-function
Legal & compliance FDD updates, registrations Semi-fixed + per state
Brand marketing System-wide marketing beyond ad fund % of system revenue

Key Franchisor Metrics

Metric Formula Target
System-Wide Revenue Sum of all franchisee + company-owned revenue Growth trajectory
Royalty Revenue Royalties collected Predictable stream
Franchisor EBITDA Margin EBITDA ÷ franchisor revenue > 30% at scale
Franchisee Survival Rate Units operating ÷ units ever opened > 90% (5-year)
Support Ratio Franchise units ÷ field support staff 40-60:1
Unit-Level Breakeven # of franchise units for franchisor profitability Know this number

4. Win-Win Validation

The franchise model only works if both sides win:

Metric Franchisee Franchisor Healthy Range
Y3 EBITDA Margin X% X% Franchisee > 15%, Franchisor > 25%
Cash-on-Cash Return X% N/A > 20%
Payback Period X months X units to breakeven Franchisee < 3yr, Franchisor < 50 units
Revenue Retained After Royalty X% Royalty: X% Franchisee retains > 85%

If the win-win test fails, adjust: royalty rate, territory size, initial investment, or support model until both sides are viable. If no configuration works, franchise may not be the right model.

5. Sensitivity Analysis

Model sensitivity on 4+ key variables (selected by {revenue_model}):

Universal Sensitivity Variables

  • Royalty rate: ±2% impact on franchisee vs. franchisor economics.
  • Unit growth rate: impact on franchisor revenue and support costs.

Subscription-Specific

  • Churn rate: ±2% impact on LTV and franchisee breakeven.
  • ARPU: pricing sensitivity on both sides.

Transaction-Specific

  • Average transaction value: ±10% impact on unit P&L.
  • Traffic volume: ±15% impact on revenue and staffing.

Service-Specific

  • Utilization rate: ±5% impact on revenue at fixed cost.
  • Average rate: pricing sensitivity.

Present as 2×2 matrices showing franchisee cash-on-cash return and franchisor EBITDA.

Quality Checks

  • Both franchisee AND franchisor P&Ls built (never just one side).
  • Revenue build uses {revenue_model}-appropriate metrics.
  • Win-win test explicitly verified with both sides showing viable economics.
  • Sensitivity analysis on at least 4 key variables.
  • Ramp-period economics distinguished from mature/steady-state economics.
  • All assumptions sourced with confidence levels.
  • Cost categories match the {business_model} (not generic).
Install via CLI
npx skills add https://github.com/Kaakati/managing-director --skill unit-economics
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